"""
Collaborative Workflow Engine

Orchestrates collaborative workflows within agent communities,
including brainstorming, problem-solving, and knowledge synthesis.
"""

import logging
from datetime import datetime
from typing import Dict, List, Any, Optional, TYPE_CHECKING

if TYPE_CHECKING:
    from .community_manager import CommunityManager
    from .resource_manager import ResourceManager
    from .decision_engine import DecisionEngine
import asyncio

from .models.community_models import CollaborationSession
from .exceptions import CommunityValidationError as TaskValidationError

logger = logging.getLogger(__name__)


class CollaborativeWorkflowEngine:
    """
    Engine for orchestrating collaborative workflows within agent communities.
    """

    def __init__(
        self,
        community_manager: Optional["CommunityManager"] = None,
        resource_manager: Optional["ResourceManager"] = None,
        decision_engine: Optional["DecisionEngine"] = None,
    ) -> None:
        """
        Initialize the collaborative workflow engine.

        Args:
            community_manager: Reference to the community manager
            resource_manager: Reference to the resource manager
            decision_engine: Reference to the decision engine
        """
        self.community_manager = community_manager
        self.resource_manager = resource_manager
        self.decision_engine = decision_engine

        # Active collaborative sessions
        self.active_sessions: Dict[str, CollaborationSession] = {}

        # Workflow templates
        self.workflow_templates = {
            "brainstorming": self._brainstorming_workflow,
            "problem_solving": self._problem_solving_workflow,
            "knowledge_synthesis": self._knowledge_synthesis_workflow,
            "decision_making": self._decision_making_workflow,
            "resource_creation": self._resource_creation_workflow,
            "peer_review": self._peer_review_workflow,
            "consensus_building": self._consensus_building_workflow,
        }

        logger.info("Collaborative workflow engine initialized")

    async def start_collaborative_session(
        self,
        community_id: str,
        session_leader_id: str,
        session_type: str,
        purpose: str,
        participants: List[str],
        agenda: Optional[List[str]] = None,
        duration_minutes: int = 60,
        session_config: Optional[Dict[str, Any]] = None,
    ) -> str:
        """
        Start a collaborative session.

        Args:
            community_id: ID of the community
            session_leader_id: ID of the session leader
            session_type: Type of collaborative session
            purpose: Purpose of the session
            participants: List of participant member IDs
            agenda: Optional agenda items
            duration_minutes: Expected duration in minutes
            session_config: Optional session configuration

        Returns:
            Session ID
        """
        if not self.community_manager:
            raise TaskValidationError("Community manager not available")

        # Validate community and participants
        community = self.community_manager.communities.get(community_id)
        if not community:
            raise TaskValidationError(f"Community not found: {community_id}")

        # Create collaboration session
        session = CollaborationSession(
            community_id=community_id,
            participants=participants,
            session_leader=session_leader_id,
            purpose=purpose,
            session_type=session_type,
            ended_at=None,
            agenda=agenda or [],
            metadata=session_config or {},
        )

        self.active_sessions[session.session_id] = session

        # Execute workflow template if available
        if session_type in self.workflow_templates:
            workflow_func = self.workflow_templates[session_type]
            await workflow_func(session)

        logger.info(f"Started collaborative session: {session_type} ({session.session_id})")
        return session.session_id

    async def _brainstorming_workflow(self, session: CollaborationSession) -> None:
        """
        Execute brainstorming workflow.

        Phases:
        1. Idea generation
        2. Idea collection and categorization
        3. Idea evaluation and ranking
        4. Action item creation
        """
        logger.info(f"Starting brainstorming workflow for session {session.session_id}")

        # Phase 1: Idea Generation
        await self._execute_phase(
            session,
            "idea_generation",
            {
                "instructions": "Generate creative ideas related to the session purpose",
                "time_limit_minutes": 15,
                "parallel_thinking": True,
            },
        )

        # Phase 2: Idea Collection
        await self._execute_phase(
            session,
            "idea_collection",
            {
                "instructions": "Collect and categorize all generated ideas",
                "time_limit_minutes": 10,
                "collaborative": True,
            },
        )

        # Phase 3: Idea Evaluation
        await self._execute_phase(
            session,
            "idea_evaluation",
            {
                "instructions": "Evaluate and rank ideas based on feasibility and impact",
                "time_limit_minutes": 15,
                "voting_enabled": True,
            },
        )

        # Phase 4: Action Planning
        await self._execute_phase(
            session,
            "action_planning",
            {
                "instructions": "Create action items for top-ranked ideas",
                "time_limit_minutes": 10,
                "assign_responsibilities": True,
            },
        )

    async def _problem_solving_workflow(self, session: CollaborationSession) -> None:
        """
        Execute problem-solving workflow.

        Phases:
        1. Problem definition and analysis
        2. Root cause analysis
        3. Solution brainstorming
        4. Solution evaluation and selection
        5. Implementation planning
        """
        logger.info(f"Starting problem-solving workflow for session {session.session_id}")

        # Phase 1: Problem Definition
        await self._execute_phase(
            session,
            "problem_definition",
            {
                "instructions": "Define the problem clearly and analyze its scope",
                "time_limit_minutes": 15,
                "structured_analysis": True,
            },
        )

        # Phase 2: Root Cause Analysis
        await self._execute_phase(
            session,
            "root_cause_analysis",
            {
                "instructions": "Identify root causes using systematic analysis",
                "time_limit_minutes": 20,
                "analysis_methods": ["5_whys", "fishbone", "pareto"],
            },
        )

        # Phase 3: Solution Brainstorming
        await self._execute_phase(
            session,
            "solution_brainstorming",
            {
                "instructions": "Generate potential solutions for identified root causes",
                "time_limit_minutes": 20,
                "creative_thinking": True,
            },
        )

        # Phase 4: Solution Evaluation
        await self._execute_phase(
            session,
            "solution_evaluation",
            {
                "instructions": "Evaluate solutions based on criteria matrix",
                "time_limit_minutes": 15,
                "evaluation_criteria": [
                    "feasibility",
                    "impact",
                    "cost",
                    "timeline",
                ],
            },
        )

        # Phase 5: Implementation Planning
        await self._execute_phase(
            session,
            "implementation_planning",
            {
                "instructions": "Create detailed implementation plan for selected solution",
                "time_limit_minutes": 15,
                "create_timeline": True,
            },
        )

    async def _knowledge_synthesis_workflow(self, session: CollaborationSession) -> None:
        """
        Execute knowledge synthesis workflow.

        Phases:
        1. Knowledge gathering
        2. Information analysis
        3. Pattern identification
        4. Synthesis and integration
        5. Knowledge artifact creation
        """
        logger.info(f"Starting knowledge synthesis workflow for session {session.session_id}")

        # Phase 1: Knowledge Gathering
        await self._execute_phase(
            session,
            "knowledge_gathering",
            {
                "instructions": "Gather relevant knowledge from community resources and expertise",
                "time_limit_minutes": 20,
                "resource_search": True,
            },
        )

        # Phase 2: Information Analysis
        await self._execute_phase(
            session,
            "information_analysis",
            {
                "instructions": "Analyze gathered information for relevance and quality",
                "time_limit_minutes": 15,
                "quality_assessment": True,
            },
        )

        # Phase 3: Pattern Identification
        await self._execute_phase(
            session,
            "pattern_identification",
            {
                "instructions": "Identify patterns, themes, and connections in the information",
                "time_limit_minutes": 20,
                "pattern_analysis": True,
            },
        )

        # Phase 4: Synthesis
        await self._execute_phase(
            session,
            "synthesis",
            {
                "instructions": "Synthesize information into coherent knowledge structure",
                "time_limit_minutes": 25,
                "collaborative_editing": True,
            },
        )

        # Phase 5: Artifact Creation
        await self._execute_phase(
            session,
            "artifact_creation",
            {
                "instructions": "Create knowledge artifacts for community sharing",
                "time_limit_minutes": 15,
                "create_resources": True,
            },
        )

    async def _decision_making_workflow(self, session: CollaborationSession) -> None:
        """
        Execute decision-making workflow.

        Phases:
        1. Decision framing
        2. Option generation
        3. Criteria definition
        4. Option evaluation
        5. Decision and commitment
        """
        logger.info(f"Starting decision-making workflow for session {session.session_id}")

        # Phase 1: Decision Framing
        await self._execute_phase(
            session,
            "decision_framing",
            {
                "instructions": "Frame the decision clearly with context and constraints",
                "time_limit_minutes": 15,
                "structured_framing": True,
            },
        )

        # Phase 2: Option Generation
        await self._execute_phase(
            session,
            "option_generation",
            {
                "instructions": "Generate multiple decision options",
                "time_limit_minutes": 20,
                "creative_options": True,
            },
        )

        # Phase 3: Criteria Definition
        await self._execute_phase(
            session,
            "criteria_definition",
            {
                "instructions": "Define evaluation criteria and their weights",
                "time_limit_minutes": 10,
                "criteria_weighting": True,
            },
        )

        # Phase 4: Option Evaluation
        await self._execute_phase(
            session,
            "option_evaluation",
            {
                "instructions": "Evaluate options against defined criteria",
                "time_limit_minutes": 20,
                "systematic_evaluation": True,
            },
        )

        # Phase 5: Decision Making
        await self._execute_phase(
            session,
            "decision_making",
            {
                "instructions": "Make final decision and create commitment plan",
                "time_limit_minutes": 15,
                "consensus_building": True,
                "create_decision": True,
            },
        )

    async def _resource_creation_workflow(self, session: CollaborationSession) -> None:
        """Execute resource creation workflow."""
        logger.info(f"Starting resource creation workflow for session {session.session_id}")

        # Phase 1: Resource Planning
        await self._execute_phase(
            session,
            "resource_planning",
            {
                "instructions": "Plan the resource to be created",
                "time_limit_minutes": 15,
            },
        )

        # Phase 2: Collaborative Creation
        await self._execute_phase(
            session,
            "collaborative_creation",
            {
                "instructions": "Collaboratively create the resource",
                "time_limit_minutes": 30,
                "collaborative_editing": True,
            },
        )

        # Phase 3: Review and Refinement
        await self._execute_phase(
            session,
            "review_refinement",
            {
                "instructions": "Review and refine the created resource",
                "time_limit_minutes": 15,
                "peer_review": True,
            },
        )

    async def _peer_review_workflow(self, session: CollaborationSession) -> None:
        """
        Execute peer review workflow.

        Phases:
        1. Reviewer assignment
        2. Individual review
        3. Review collection and synthesis
        4. Feedback integration
        5. Final approval
        """
        logger.info(f"Starting peer review workflow for session {session.session_id}")

        # Phase 1: Reviewer Assignment
        await self._execute_phase(
            session,
            "reviewer_assignment",
            {
                "instructions": "Assign reviewers based on expertise and availability",
                "time_limit_minutes": 5,
                "min_reviewers": 2,
                "max_reviewers": 5,
            },
        )

        # Phase 2: Individual Review
        await self._execute_phase(
            session,
            "individual_review",
            {
                "instructions": "Conduct independent review of the material",
                "time_limit_minutes": 30,
                "review_criteria": [
                    "accuracy",
                    "completeness",
                    "clarity",
                    "quality",
                ],
                "parallel_reviews": True,
            },
        )

        # Phase 3: Review Collection
        await self._execute_phase(
            session,
            "review_collection",
            {
                "instructions": "Collect and synthesize all review feedback",
                "time_limit_minutes": 15,
                "identify_conflicts": True,
                "aggregate_scores": True,
            },
        )

        # Phase 4: Feedback Integration
        await self._execute_phase(
            session,
            "feedback_integration",
            {
                "instructions": "Integrate reviewer feedback into the material",
                "time_limit_minutes": 20,
                "collaborative_editing": True,
                "track_changes": True,
            },
        )

        # Phase 5: Final Approval
        await self._execute_phase(
            session,
            "final_approval",
            {
                "instructions": "Reviewers provide final approval or request changes",
                "time_limit_minutes": 10,
                "require_consensus": True,
                "approval_threshold": 0.8,
            },
        )

    async def _consensus_building_workflow(self, session: CollaborationSession) -> None:
        """
        Execute consensus building workflow.

        Phases:
        1. Issue presentation and clarification
        2. Discussion round 1 - Position sharing
        3. Common ground identification
        4. Proposal refinement
        5. Convergence check and agreement
        """
        logger.info(f"Starting consensus building workflow for session {session.session_id}")

        # Phase 1: Issue Presentation
        await self._execute_phase(
            session,
            "issue_presentation",
            {
                "instructions": "Present the issue clearly and allow clarification questions",
                "time_limit_minutes": 15,
                "clarification_enabled": True,
            },
        )

        # Phase 2: Position Sharing
        await self._execute_phase(
            session,
            "position_sharing",
            {
                "instructions": "Each member shares their position and rationale",
                "time_limit_minutes": 20,
                "equal_participation": True,
                "capture_positions": True,
            },
        )

        # Phase 3: Common Ground Identification
        await self._execute_phase(
            session,
            "common_ground_identification",
            {
                "instructions": "Identify areas of agreement and shared values",
                "time_limit_minutes": 15,
                "find_overlaps": True,
                "identify_blockers": True,
            },
        )

        # Phase 4: Proposal Refinement
        await self._execute_phase(
            session,
            "proposal_refinement",
            {
                "instructions": "Refine proposals to address concerns and maximize agreement",
                "time_limit_minutes": 25,
                "iterative_refinement": True,
                "test_proposals": True,
            },
        )

        # Phase 5: Convergence Check
        await self._execute_phase(
            session,
            "convergence_check",
            {
                "instructions": "Check for consensus and finalize agreement",
                "time_limit_minutes": 15,
                "consensus_threshold": 0.9,
                "allow_dissent": True,
                "document_agreement": True,
            },
        )

    async def _execute_phase(
        self,
        session: CollaborationSession,
        phase_name: str,
        phase_config: Dict[str, Any],
    ) -> None:
        """
        Execute a workflow phase.

        Args:
            session: Collaboration session
            phase_name: Name of the phase
            phase_config: Phase configuration
        """
        logger.info(f"Executing phase '{phase_name}' for session {session.session_id}")

        # Record phase execution
        phase_result = {
            "phase_name": phase_name,
            "started_at": datetime.utcnow().isoformat(),
            "config": phase_config,
            "participants": session.participants,
            "outputs": [],
        }

        # Simulate phase execution (in real implementation, this would
        # coordinate agent activities)
        phase_config.get("time_limit_minutes", 10)
        await asyncio.sleep(1)  # Simulate processing time

        phase_result["completed_at"] = datetime.utcnow().isoformat()
        phase_result["status"] = "completed"

        # Store phase result in session metadata
        if "phases" not in session.metadata:
            session.metadata["phases"] = []
        session.metadata["phases"].append(phase_result)

        logger.info(f"Completed phase '{phase_name}' for session {session.session_id}")

    async def end_session(self, session_id: str) -> Dict[str, Any]:
        """
        End a collaborative session and generate summary.

        Args:
            session_id: ID of the session to end

        Returns:
            Session summary
        """
        if session_id not in self.active_sessions:
            raise TaskValidationError(f"Session not found: {session_id}")

        session = self.active_sessions[session_id]
        session.status = "completed"
        session.ended_at = datetime.utcnow()

        # Generate session summary
        summary = {
            "session_id": session_id,
            "session_type": session.session_type,
            "purpose": session.purpose,
            "participants": session.participants,
            "duration_minutes": (session.ended_at - session.started_at).total_seconds() / 60,
            "outcomes": session.action_items,
            "resources_created": session.resources_created,
            "decisions_made": session.decisions_made,
            "phases_completed": len(session.metadata.get("phases", [])),
            "status": session.status,
        }

        # Remove from active sessions
        del self.active_sessions[session_id]

        logger.info(f"Ended collaborative session {session_id}")
        return summary
